Volume 12 Issue 2
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2012  >  12(2): 46-52
CHEN Shi-an, WANG Yong-gang, WANG Dong, HE Ren, LIU Hong-guang. Energy availability of active suspension without external energy supply[J]. Journal of Traffic and Transportation Engineering, 2012, 12(2): 46-52. doi: 10.19818/j.cnki.1671-1637.2012.02.007
Citation: CHEN Shi-an, WANG Yong-gang, WANG Dong, HE Ren, LIU Hong-guang. Energy availability of active suspension without external energy supply[J]. Journal of Traffic and Transportation Engineering, 2012, 12(2): 46-52. doi: 10.19818/j.cnki.1671-1637.2012.02.007
shu

Energy availability of active suspension without external energy supply

doi: 10.19818/j.cnki.1671-1637.2012.02.007

  • School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China

Funds:

National Natural Science Foundation of China 50805066

More Information
  • Author Bio:

    CHEN Shi-an(1973-), Male, Jingzhou, Hubei, Associate Professor of Jiangsu University, PhD, Researchon Automotive Technology of Vibration Analysis and Control, Energy Conservation and Active Safety, +86-511-88791872, chenshian73@ujs.edu.cn

  • Received Date: 2011-12-22
  • Publish Date: 2012-04-25
    Abstract
  • The absolute ratio of mean power reclaimed in the semi-active control mode divided by the value consumed in the active control mode was proposed as the evaluating index of energy availability for active suspension without external energy supply(ASWEES).The performance and energy availability of ASWEES were analyzed based on optimized PID and LQG controllers, which were designed for a quarter-heavy-vehicle ASWEES.When the damping ratio was 0.1, PID control parameters were optimized by using the genetic algorithm with suspension quadratic performance index taken as the objective function.It is pointed that the suspension quadratic performance index of ASWEES based on optimized PID control is 3.32% bigger than the index based on LQG control, and their energy availability indexes are 17.15 and 226.33 respectively.The result indicates that the performance of ASWEES based on LQG control is weakly better, two ASWEESs meet the demand of energy availability, and the energy availability of ASWEES based on LQG control is strongly better.

     

    • FullText(HTML)
  • loading
    • References(20)
  • [1]
    ZAREH S H, SARRAFAN A, KHAYYAT A A, et al. Intelligent semi-active vibration control of eleven degrees of freedom suspension system using magnetorheological dampers[J]. Journal of Mechanical Science and Technology, 2012, 26(2): 323-334. doi: 10.1007/s12206-011-1007-6
    [2]
    CREWS J H, MATTSON M G, BUCKNER G D. Multi-objective control optimization for semi-active vehicle suspensions[J]. Journal of Sound and Vibration, 2011, 330(23): 5502-5516. doi: 10.1016/j.jsv.2011.05.036
    [3]
    MALEKSHAHI A, MIRZAEI M. Designing a non-linear tracking controller for vehicle active suspension systems using an optimization process[J]. International Journal of Automotive Technology, 2012, 13(2): 263-271. doi: 10.1007/s12239-012-0023-6
    [4]
    YIM S. Design of a robust controller for rollover prevention with active suspension and differential braking[J]. Journal of Mechanical Science and Technology, 2012, 26(1): 213-222. doi: 10.1007/s12206-011-0915-9
    [5]
    LIU Shu-bo, ZHAO Ding-xuan. H∞/generalized H2 static output feedback control method for active suspension[J]. China Journal of Highway and Transport, 2009, 22(4): 122-126.
    [6]
    EBRAHIMI B, BOLANDHEMMAT H, KHAMESEE M B, et al. A hybrid electromagnetic shock absorber for active vehicle suspension systems[J]. Vehicle System Dynamics, 2011, 49(1/2): 311-332.
    [7]
    RYU S, KIM Y, PARK Y. Robust H∞ preview control of an active suspension system with norm-bounded uncertainties[J]. International Journal of Automotive Technology, 2008, 9(5): 585-592. doi: 10.1007/s12239-008-0069-7
    [8]
    GAO Hui-jun, SUN Wei-chao, SHI Peng. Robust sampled-data H∞ control for vehicle active suspension systems[J]. IEEE Transactions on Control Systems Technology, 2010, 18(1): 238-245. doi: 10.1109/TCST.2009.2015653
    [9]
    DAVID S B, BOBROVSKY B Z. Actively controlled vehicle suspension with energy regeneration capabilities[J]. Vehicle System Dynamics, 2011, 49(6): 833-854. doi: 10.1080/00423114.2010.488295
    [10]
    MONTAZERI-GH M, SOLEYMANI M. Investigation of theenergy regeneration of active suspension system in hybridelectric vehicles[J]. IEEE Transactions on Industrial Elec-tronics, 2010, 57(3): 918-925. doi: 10.1109/TIE.2009.2034682
    [11]
    HUANG K, YU F, ZHANG Y. Active controller design foran electromagnetic energy-regenerative suspension[J]. International Journal of Automotive Technology, 2011, 12(6): 877-885. doi: 10.1007/s12239-011-0100-2
    [12]
    CHEN Shi-an, HE Ren, LU Sen-lin. New reclaiming energy suspension and its working principle[J]. Chinese Journal of Mechanical Engineering, 2007, 43(11): 177-182. doi: 10.3901/JME.2007.11.177
    [13]
    YU Chang-miao, WANG Wei-hua, WANG Qing-nian. Damping characteristic and its influence factors in energy regenerative sus-pension[J]. Journal of Jilin University: Engineering and Technology Edition, 2010, 40(6): 1482-1486.
    [14]
    YU Chang-miao, WANG Wei-hua, WANG Qing-nian. Design of electromagnetic energy regenerative suspension system and analysis of energy conservation[J]. Automobile Technology, 2010(2): 21-25.
    [15]
    HUANG Kun, YU Fan, ZHANG Yong-chao. Active control of energy-regenerative electromagnetic suspension based on energy flow analysis[J]. Journal of Shanghai Jiaotong University, 2011, 45(7): 1068-1073.
    [16]
    TAO Yong-hua. Application of New PID Control[M]. 2nd Edition. Beijing: China Machine Press, 2003.
    [17]
    ZENG Jie-ru, GU Zheng-qi, LI Wei-ping, et al. A research on the fuzzy PID control for vehicle semi-active suspension based on genetic algorithm[J]. Automotive Engineering, 2010, 32(5): 429-433.
    [18]
    WANG Chen, WANG Shi-cheng. Parameters setting of PIDcontroller based on genetic algorithm[J]. Computer Simulation, 2005, 22(10): 112-114, 143.
    [19]
    JIN Y, YU D J. Adaptive neuron control using an integrated error approach with application to active suspensions[J]. International Journal of Automotive Technology, 2008, 9(3): 329-335. doi: 10.1007/s12239-008-0040-7
    [20]
    CHEN Shi-an, QIU Feng, HE Ren, et al. A method for choosing weights in a suspension LQG control[J]. Journal of Vibration and Shock, 2008, 27(2): 65-68, 176.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (753) PDF downloads(738) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return